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mckinsey mckinsey

vizro

Data community intermediate

Description

[](https://pypi.org/project/vizro/) [](https://badge.fury.io/py/vizro) [](https://github.com/mckinsey/vizro/blob/main/LICENSE.md) [](https://vizro.readthedocs.io/) [](https://www.bestpractices.dev/projects/7858)

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

Vizro is a low-code toolkit for building high-quality data visualization apps

[](https://pypi.org/project/vizro/) [](https://badge.fury.io/py/vizro) [](https://github.com/mckinsey/vizro/blob/main/LICENSE.md) [](https://vizro.readthedocs.io/) [](https://www.bestpractices.dev/projects/7858)

[Documentation](https://vizro.readthedocs.io/en/stable/) | [Get Started](https://vizro.readthedocs.io/en/stable/pages/tutorials/first_dashboard/)

What is Vizro?

Vizro is an open-source Python-based toolkit.

Use it to build beautiful and powerful data visualization apps quickly and easily, without needing advanced engineering or visual design expertise.

Then customize and deploy your app to production at scale.

In just a few lines of simple low-code configuration, with in-built visual design best practices, you can quickly assemble high-quality, multi-page prototypes, that are production-ready.

Every Vizro app is defined by a simple configuration, using these high-level categories:

  • Components: charts, tables, cards, KPI indicators, forms and more.
  • Controls: filters and parameters, using a range of selectors such as drop-down menus and sliders.
  • Actions: interactions between components, drill-throughs, export functionality and more.
  • Layouts: grid layouts or flexible containers, with a range of pre-set styles.
  • Navigation: a range of app layout and navigation settings, including nested page hierarchies.

Configuration can be written in multiple formats including **Pydantic models**, **JSON**, **YAML** or **Python dictionaries** for added flexibility of implementation.

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